Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; The University of Manchester
- ; City St George’s, University of London
- ; University of Exeter
- ; University of Nottingham
- ; Newcastle University
- ; Swansea University
- ; University of Birmingham
- ; University of Bristol
- ; University of Leeds
- ; University of Southampton
- ; University of Surrey
- Abertay University
- The University of Manchester
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; The University of Edinburgh
- ; UCL
- ; UWE, Bristol
- ; University of Greenwich
- ; University of Oxford
- ; University of Reading
- ; University of Strathclyde
- ; University of Warwick
- Harper Adams University
- King's College London
- Oxford Brookes University
- The University of Manchester;
- UCL
- University of Birmingham
- University of Bristol
- University of Nottingham;
- University of Oxford
- University of Sheffield
- 29 more »
- « less
-
Field
-
thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
-
science, along with proven skills in prototyping software using real-time 3D engines and implementing machine learning models. With 50+ researchers and PhD students, the Centre for Sustainable Cyber Security (CS2
-
environments such as low light, heat haze, and adverse weather is significantly difficult. These conditions not only degrade video quality but also complicate interpretation by humans and machines, making post
-
Technology. Mr Kumar is the module leader for Military Vehicle Dynamics, part of the Military Vehicle Technology MSc, which he teaches in the UK and overseas. He worked on project from the UK Ministry of
-
Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
-
Machine Learning-based diagnostics and prognostics digital twin system will be developed, aiming to provide fast and reliable predictions of the health of gas turbine engines. Non-confidential operational
-
into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
-
., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
-
powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
-
in computer vision would be beneficial but not essential; determination, curiosity, and a willingness to learn are key attributes we value. Applicants with alternative qualifications, industry